Machine learning approach for the prediction of macrosomia

Abstract Fetal macrosomia is associated with maternal and newborn complications due to incorrect fetal weight estimation or inappropriate choice of delivery models. The early screening and evaluation of macrosomia in the third trimester can improve delivery outcomes and reduce complications. However...

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Bibliographic Details
Published in:Visual Computing for Industry, Biomedicine, and Art
Main Authors: Xiaochen Gu, Ping Huang, Xiaohua Xu, Zhicheng Zheng, Kaiju Luo, Yujie Xu, Yizhen Jia, Yongjin Zhou
Format: Article
Language:English
Published: SpringerOpen 2024-08-01
Subjects:
Macrosomia
Fetal weight prediction
Machine learning algorithm
Feature selection
Ensemble learning
Online Access:https://doi.org/10.1186/s42492-024-00172-9

Internet

https://doi.org/10.1186/s42492-024-00172-9

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